School of Engineering - Lecturer (Electrical Eng & Next-Gen Connectivity)

Public Service Division; Singapore; Vor Ort; SGD 70.000 - 90.000; Vollzeit

Zusammenfassung

Public Service Division invites applications for a School of Engineering Lecturer (Electrical Engineering, Communications & Next-Generation Connectivity) in Singapore. You will teach and develop courses in electronics, circuits, RF, optical and wireless systems, and supervise projects with focus on AI-enabled wireless communications.

Engagement with industry and university partners, development of CET programmes, and mentoring students are key aspects of the role.

Qualifikationen

• Strong fundamentals in electronics, electrical engineering, communications and networking.
• Knowledge or exposure in wireless/mobile communications, IP networking, RF or optical communications.
• Interest or experience in AI/ML applications for communications, such as AI-enabled network optimisation and network analytics.
• Ability to utilise AI tools for engineering, teaching and applied projects.
• Passion for teaching, mentoring and engaging youths.
• Strong communication and interpersonal skills.

Aufgaben

• Deliver and develop lessons in electrical engineering, electronics and communications engineering.
• Teach topics such as circuit analysis, analogue and digital electronics, instrumentation, communication systems, RF fundamentals, antennas, optical fibre communications, wireless communications and communication networks.
• Deliver emerging topics including 5G/5G-Advanced, 6G fundamentals, Open RAN, private 5G, IoT/AIoT, LPWAN, edge computing, cloud-native telecommunications and smart-city connectivity.
• Develop laboratories and projects involving AI-enabled wireless communications, network optimisation, intelligent radio resource management, AI-assisted network planning, network analytics and AI-native communications systems.
• Develop and conduct CET programmes, including Specialist Diploma and Part-time Diploma courses.
• Supervise student projects, internships and applied learning activities.
• Collaborate with industry and university partners on curriculum development, applied projects and industry engagement.
• Support outreach activities, student development and administrative duties.

Kenntnisse

Electronics fundamentals

Electrical engineering

Communications

Networking

AI/ML for communications

5G/6G

Open RAN

IoT/AIoT

Edge computing

Lab development

Jobbeschreibung

[What the role is]

School of Engineering - Lecturer (Electrical Engineering, Communications & Next-Generation Connectivity)

[What you will be working on]

• Deliver and develop lessons in electrical engineering, electronics and communications engineering.
• Teach topics such as circuit analysis, analogue and digital electronics, instrumentation, communication systems, RF fundamentals, antennas, optical fibre communications, wireless communications and communication networks.
• Deliver emerging topics including 5G/5G-Advanced, 6G fundamentals, Open RAN, private 5G, IoT/AIoT, LPWAN, edge computing, cloud-native telecommunications and smart-city connectivity.
• Develop laboratories and projects involving AI-enabled wireless communications, network optimisation, intelligent radio resource management, AI-assisted network planning, network analytics and AI-native communications systems.
• Develop and conduct CET programmes, including Specialist Diploma and Part-time Diploma courses.
• Supervise student projects, internships and applied learning activities.
• Collaborate with industry and university partners on curriculum development, applied projects and industry engagement.
• Support outreach activities, student development and administrative duties.

[What we are looking for]

• Strong fundamentals in electronics, electrical engineering, communications and networking.
• Knowledge or exposure in one or more areas:
  • Wireless or mobile communications
  • Communication networks and IP networking
  • RF systems or optical communications
  • 5G/5G-Advanced, IoT or edge computing
• Interest or experience in AI/ML applications for communications, such as:
  • AI-enabled network optimisation
  • Network analytics
  • Intelligent wireless planning
  • Predictive network maintenance
  • AI-assisted communications systems
• Ability to utilise AI tools for engineering, teaching and applied projects.
• Passion for teaching, mentoring and engaging youths.
• Strong communication and interpersonal skills.